McKesson

McKesson

Sr. Data Engineer

USA, TX, Irving · Senior

Sponsorship not specified$141k-$184kDetected 21 days ago
PythonScalaCode ReviewGitSQLRedshiftDatabricksAWSCI/CDMachine LearningSparkData EngineeringLLMsUnityCommunicationProblem SolvingMentoring

About the role

  • McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare.
  • Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
  • We foster a culture where you can grow, make an impact, and are empowered to bring new ideas.

Requirements

  • Bachelor's Degree in Computer Science or related field of study and Five (5) years of experience in the job offered or a related occupation.
  • Experience must include (5) years in the following skills:
  • Experience with design and optimizing scalable data pipelines with Python and Spark in Databricks
  • Experience with developing modular, reusable components in Databricks notebooks and workflows
  • Experience must include (5) years in the following

Skills

  • Experience in data engineering with Databricks and AWS;
  • Experience with Apache Spark, SQL, and Python or Scala;
  • Experience with Delta Lake, Unity Catalog, and cloud data warehouses (e.g., Redshift);
  • Experience with data modeling, ETL/ELT processes, and data governance;
  • Experience with orchestration tools including Gitlab or Bitbucket and CI/CD practices;
  • Experience in implementing data validation frameworks to ensure pipeline accuracy and consistency.
  • OFFERED WAGE: $141,336 - $184,400/year
  • CONTACT: To apply, please send resumes to JobPostings@McKesson.com.
  • Reference #: 002115.
  • In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
  • For more information regarding benefits at McKesson, please click here.
  • In light of these scams, please bear the following in mind:

Compensation

  • We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards.

Benefits

  • Together, we thrive as we shape the future of health for patients, our communities, and our people.
  • If you want to be part of tomorrow's health today, we want to hear from you.

Company info

  • McKesson Corporation
  • POSITION: Sr.
  • Data Engineer
  • JOB DUTIES: Assist and lead the design, development, and maintenance of scalable, high-performance data solutions that support analytics, AI, and business intelligence across the organization.
  • Assist in designing and documenting technical requirements for data flows between diverse operational systems and the data warehouse and support the end-to-end development of ETL/ELT processes using Apache Spark on Databricks.
  • Contribute to the ingestion of data into data lakes and warehouses, implement Delta Lake for transactional integrity, and help orchestrate both batch and streaming data pipelines.
  • Collaborate with cross-functional technology teams, on extract, transform, and load data from a variety of sources, build and optimize data models, and maintain software applications aligned with business needs.
  • Explore and integrate emerging AWS technologies to enhance data engineering capabilities, write complex SQL queries for data validation and transformation, and manage Databricks workspaces, clusters, and jobs.
  • Support data quality initiatives, ensure compliance with governance and security policies, and participate in the development and operationalization of machine learning and generative AI applications.
  • Assist in troubleshooting production workflows, refactoring legacy systems, participating in code reviews, and mentoring junior engineers.
  • Requires a strong understanding of modern data architecture, a proactive approach to problem-solving, and a passion for building reliable, scalable, and innovative data solutions.
  • 100% telecommuting allowed from a home office anywhere in the U.S.

Equal opportunity

  • Equal Opportunity Employer
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This listing is sourced directly from McKesson's careers page and normalized into a canonical job model.